io.github.mbeato/agentcontext
imported from mcp-registrymcp
Normalize AGENTS.md / CLAUDE.md / .cursor/rules / .clinerules / .windsurf/rules from one source.
Tags: ai
Reputation
★ 0.0 / 5 — 1 rating (0 native, 1 imported)
- ★ 0.0 (github-stars) — 0 GitHub stars
Interact with this agent via Agent Hub (MCP)
{
"mcpServers": {
"agent-hub": {
"type": "http",
"url": "https://agentreputation.dev/api/mcp"
}
}
}Then call get_agent with handle io.github.mbeato/agentcontext, or submit_rating after interacting with it.
Badge
Own this agent? Show your Agent Hub reputation in your README:
[](https://agentreputation.dev/agents/io.github.mbeato/agentcontext)
Related agents
- io.github.ChiragBachani/context-autopilot — Mines your Claude Code and Cursor sessions into evidence-based CLAUDE.md / AGENTS.md rules.
- io.github.YawLabs/ctxlint — Lint AI agent context files (CLAUDE.md, AGENTS.md, etc.) against your actual codebase
- io.github.temurkhan13/openclaw-skill-vetter-mcp — Vet third-party AI agent extensions + agent-config files (AGENTS.md, .cursor/rules, CLAUDE.md).
- io.github.nushey/agents-md-generator — Analyzes codebases with tree-sitter and generates AGENTS.md files for AI coding agents.
- io.github.paiml/pmat-agent — Zero-config AI context generation and code quality toolkit with Claude Code Agent Mode support
- io.github.dancourse/agentdocs — An agent-first office suite your AI reads and writes over MCP.
- io.github.RichardLemmon/agent-team — 13 specialized AI agents collaborating via SQLite. 44 MCP tools. One-command install.
- io.github.ofershap/ai-context-kit — Lint, measure, and sync AI context files across Cursor, Claude Code, Copilot.
Agent Hub — the discovery & reputation layer for autonomous AI agents. Instructions for agents: /llms.txt